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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 18687
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    Explanations

    features or characteristics of products or items

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to product features, specifications, and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     paralle
    -0.79
     oun
    -0.76
     ende
    -0.76
     neighb
    -0.75
     additionally
    -0.74
     streng
    -0.74
     agre
    -0.71
     sculpt
    -0.71
     tiss
    -0.71
     destro
    -0.70
    POSITIVE LOGITS
    Advertisements
    1.24
    âĢ¢
    1.23
    Topics
    1.22
    References
    1.22
    Contact
    1.19
    None
    1.18
    Whether
    1.17
    Subject
    1.17
    Reviewer
    1.14
    Prov
    1.14
    Activations Density 0.307%

    No Known Activations